基于聚类分析的川滇地区块体划分与应变研究
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国家自然科学基金(41574002);福建省教育厅课题(JAT160771)


Block partitioning and strain study in Sichuan-Yunnan region based on cluster analysis
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    摘要:

    本文研究川滇地区块体划分与区域地壳应变.首先,对川滇地区GPS水平速度场采用K-medoids聚类法直接聚类;然后,基于改进的K-medoids方法,利用GPS站点地理位置与水平速度场对初步聚类结果联合约束进行第2次聚类分析,并结合F统计检验法确定各块体边界;最后,运用整体旋转线性应变模型计算各块体的应变参数,分析水平运动、应变场空间分布与区域构造变形的关系.研究结果表明:川滇地区的GPS聚类分析结果与地质学提出的板块划分结果相吻合,为块体划分提供另一种方式;整体旋转线性应变模型计算的应变结果显示川滇菱形块体表现为最大剪应变和面应变率梯度高值区,表明该区域积累了一定的弹性应变能,具有发生地震的危险性.

    Abstract:

    This paper focuses on block partitioning and strain calculation in the Sichuan-Yunnan region.First,the K-medoids clustering method is used to cluster the GPS horizontal velocity field in Sichuan-Yunnan.Next,the initial classification results are further clustered based on constraints from the geographical location and velocity field of GPS stations by using the improved K-medoids method.Subsequently,the F statistical test method is used to determine the boundary of each block.Finally,the strain parameters of each block are calculated using an integral rotation linear strain model and the relationship between horizontal motion,spatial distribution of strain field,and regional tectonic deformation is analyzed.The results of the velocity field clustering analysis of GPS stations in the Sichuan-Yunnan region are consistent with the results of the alternative block division methodology based on geological theory of plate division.The strain results,which are calculated using the integral rotation linear strain model,show that the Sichuan-Yunnan rhombic block has the maximum shear strain and the highestsurface strain rate gradient.In addition,this region has accumulated some elastic strain energy,an indicator of earthquake risk.

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张小青,许才军,王帅.基于聚类分析的川滇地区块体划分与应变研究[J].南京信息工程大学学报(自然科学版),2019,11(2):208-215
ZHANG Xiaoqing, XU Caijun, WANG Shuai. Block partitioning and strain study in Sichuan-Yunnan region based on cluster analysis[J]. Journal of Nanjing University of Information Science & Technology, 2019,11(2):208-215

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  • 收稿日期:2018-09-04
  • 在线发布日期: 2019-04-25

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